As a selected participant, you will gain access to the full optimization framework, hands-on support from our development team, and opportunities to influence our product roadmap. Our decision will be based in part on your compute requirements, use case(s), and commitment to collaborative feedback.
Be among the first to test sub-quadratic attention, memory-efficient checkpoints, and our latest sparse-update methods on real hardware.
A lightweight UI showing your projected GPU-hour savings and epoch-by-epoch comparison against a baseline training run.
Track loss curves, step-time breakdowns, and compute-cost dashboards so you can see exactly where time and money are being saved.
Provide feedback that will influence which advanced optimizers, mixed-precision schedules, or pruning strategies we prioritize next.
